Evaluation of semidecentralized emergency drinking water treatment
Bibliographic record
Abstract
This study evaluates the potential for a novel semidecentralized approach that uses coagulant disinfectant products (CDPs) for humanitarian water treatment, by testing two commercially available products (CDP-W and CDP-T). Their performances were evaluated against the relevant water quality treatment objectives (The Sphere Project) under laboratory conditions, using a standardized testing protocol with both synthetic and natural surface test waters. Tests indicated a satisfactory performance by one of the products (CDP-W) with respect to humanitarian water quality objectives, (i.e., free chlorine residual, pH, and turbidity) that was dependent on initial water quality characteristics. Adequate bacterial inactivation (final thermotolerant coliform concentration of < 1 cfu/100 mL) was always attained and log reductions of up to 5 were achieved. The other product (CDP-T) did not exhibit any measurable coagulation and disinfection properties, indicating the variability of product quality and the need to conduct evaluations such as the ones presented in this study. Such results are of relevance to relief agencies delivering water supply interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".